GATE 2026 Eigenvalues, Eigenvectors & SVD

Prepare effectively for the GATE 2026 Data Science and Artificial Intelligence paper with this focused quiz on Eigenvalues, Eigenvectors & SVD. This set of 30 multiple-choice questions covers crucial linear algebra concepts such as matrix diagonalization, spectral decomposition, properties of symmetric matrices, singular value decomposition (SVD), and the interpretation of eigenvalues and eigenvectors—frequently tested in the GATE DS & AI exam.

✅ Timed for 30 minutes
✅ Instant feedback with detailed explanations
✅ Questions aligned with the official GATE 2026 syllabus

Start the quiz below and evaluate your grasp on one of the most foundational topics in the GATE DA paper.